{"id":"W3181641913","doi":"10.1016/j.jglr.2021.06.003","title":"Total gaseous mercury (TGM) concentration over Lake Superior and Lake Michigan","year":2021,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Environmental science; Biogeochemical cycle; Environmental chemistry; Hydrology (agriculture); Chemistry; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009010296,0.0002879896,0.0002245499,0.0006248186,0.0008747118,0.0004358058,0.0002102815,0.0003062098,0.0009259004],"category_scores_gemma":[0.0001719499,0.0001552849,0.0001983203,0.001031053,0.0002275464,0.0002596284,0.0005179654,0.0002191662,0.0001394914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009888894,"about_ca_system_score_gemma":0.0006618438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1449498,"about_ca_topic_score_gemma":0.3092263,"domain_scores_codex":[0.9997674,0.000008833989,0.000009065017,0.00004781707,0.0001420931,0.00002484079],"domain_scores_gemma":[0.9998879,0.00000976032,0.00003084705,0.000003900602,0.0000500112,0.00001742154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002189462,0.00003904957,0.7511042,0.0001638872,0.0001764952,0.0007102429,0.001512015,0.0009766002,0.2200786,0.0001653957,0.001566516,0.02328792],"study_design_scores_gemma":[0.000007804038,0.00006963217,0.9812447,0.0000160312,0.00005251096,0.0001222409,0.0005316958,0.001330326,0.01387542,0.00004117771,0.002693756,0.00001473505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965624,0.0001334601,0.0001884444,0.00005757641,0.000002798227,0.000007012216,0.0009637399,0.00004787206,0.002036612],"genre_scores_gemma":[0.996563,0.00019551,0.0008886461,0.00004254694,0.00001065318,0.00001414401,0.001060547,0.00001179962,0.001213163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1449498,"threshold_uncertainty_score":0.2882123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394102357264843,"score_gpt":0.3340056627856399,"score_spread":0.2945954270591556,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}